| 1. |
- Wang, L, et al.
(författare)
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Bismuth-Related Nanostructures
- 2019
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Ingår i: Springer Series in Materials Science. - Singapore : Springer Singapore. - 2196-2812 .- 0933-033X. ; 285, s. 181-199
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Bismuth can modify surface reconstruction of III-V semiconductors and affect their growth conditions. Bismuth incorporation into III-Vs strongly changes their electronic properties. We present an overview of how the above Bi-related effects influence structural and optical properties of III-V nanostructures.
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| 2. |
- Huang, Yong, et al.
(författare)
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Overview of Manufacturing
- 2019
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Ingår i: Handbook of Manufacturing. - : World Scientific Pub Co Pte Ltd. ; , s. 1-16
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 3. |
- Huang, Yong, et al.
(författare)
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Preface
- 2019
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Ingår i: Handbook of Manufacturing. - : World Scientific Pub Co Pte Ltd. ; , s. v-vi
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 4. |
- Li, Weidong, et al.
(författare)
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Intelligent Optimisation for Integrated Process Planning and Scheduling
- 2011
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Ingår i: Multi-objective Evolutionary Optimisation for Product Design and Manufacturing. - London : Springer London. - 9780857296177 - 9780857296528 ; , s. 305-324
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Bokkapitel (refereegranskat)abstract
- Traditionally, process planning and scheduling were performed sequentially, where scheduling was executed after process plans had been generated. Considering the fact that the two functions are usually complementary, it is necessary to integrate them more tightly so that the performance of a manufacturing system can be improved greatly. In this chapter, a multi-agent-based framework has been developed to facilitate the integration of the two functions. In the framework, the two functions are carried out simultaneously, and an optimization agent based on evolutionary algorithms is used to manage the interactions and communications between agents to enable proper decisions to be made. To verify the feasibility and performance of the proposed approach, experimental studies conducted to compare this approach and some previous works are presented. The experimental results show the proposed approach has achieved significant improvement.
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| 5. |
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| 6. |
- Wang, Shu Min, 1963, et al.
(författare)
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Phosphorus and Nitrogen Containing Dilute Bismides
- 2019
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Ingår i: Springer Series in Materials Science. - Singapore : Springer Singapore. - 2196-2812 .- 0933-033X. ; 285, s. 97-123
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Phosphorus and nitrogen containing dilute bismides differ from arsenic and antimony containing bismides in that the anions have large differences in atomic size and electronegativity, offering rich potentials for strain as well as bandgap engineering. In this chapter, we show theoretical modeling, epitaxy and characterizations of III-PBi and III-NBi and their quaternary alloys.
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| 7. |
- Zhang, H, et al.
(författare)
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Service composition in cloud manufacturing : A DQN-based approach
- 2020
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Ingår i: International Series in Operations Research and Management Science. - Cham : Springer. ; , s. 239-254
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Cloud manufacturing is a new service-oriented manufacturing model that integrates distributed manufacturing resources to provide on-demand manufacturing services over the Internet. Service composition that builds larger-granularity, value-added services by combining a number of smaller-granularity services to satisfy consumers’ complex requirements is an important issue in cloud manufacturing. Meta-heuristic algorithms such as genetic algorithm, particle swarm optimization, and ant colony algorithm are frequently employed for addressing service composition issues in cloud manufacturing. However, these algorithms require complex design flows and lack adaptability to dynamic environment. Deep reinforcement learning provides an alternative approach for solving cloud manufacturing service composition issues. This chapter proposes a deep Q-network (DQN) based approach for service composition in cloud manufacturing, which is able to find optimal service composition solutions through repeated training and learning. Results of experiments that take into account changes of service scales and service unavailability reveal the scalability and robustness of the DQN algorithm-based service composition approach.
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